Correlation matrix between a list of trees.

A correlation matrix between a list of trees.

Assumes the labels in the two trees fully match. If they do not please first use intersect_trees to have them matched.

cor.dendlist(
  dend,
  method = c("cophenetic", "baker", "common_nodes", "FM_index"),
  ...
)

Arguments

dend

a dendlist of trees

method

a character string indicating which correlation coefficient is to be computed. One of "cophenetic" (default), "baker", "common_nodes", or "FM_index". It can be abbreviated.

...

passed to cor functions.

Value

A correlation matrix between the different trees

See also

cophenetic, cor_cophenetic, cor_bakers_gamma, cor_common_nodes, cor_FM_index

Examples

if (FALSE) { # \dontrun{

set.seed(23235)
ss <- sample(1:150, 10)
dend1 <- iris[ss, -5] %>%
  dist() %>%
  hclust("com") %>%
  as.dendrogram()
dend2 <- iris[ss, -5] %>%
  dist() %>%
  hclust("single") %>%
  as.dendrogram()
dend3 <- iris[ss, -5] %>%
  dist() %>%
  hclust("ave") %>%
  as.dendrogram()
dend4 <- iris[ss, -5] %>%
  dist() %>%
  hclust("centroid") %>%
  as.dendrogram()
#    cutree(dend1)
cors <- cor.dendlist(dendlist(d1 = dend1, d2 = dend2, d3 = dend3, d4 = dend4))

cors

# a nice plot for them:
library(corrplot)
corrplot(cor.dendlist(dend1234), "pie", "lower")
} # }